Computer Vision Engineer

Direct message the job poster from sensen.ai Sensen.ai is a global leader in AI-powered video analytics and smart city solutions, publicly traded on the ASX (SNS). Since 2007, we've been transforming how cities and organizations leverage computers vision technology to create safer, smarter, and more efficient communities. Our solutions are deployed across major cities in Australia, North America, Canada, and Southeast Asia, powering everything from intelligent traffic management to public safety systems. We're now expanding our Southeast Asia operations and looking for talented engineers to join our growing team. Role Overview We're seeking a talented Computer Vision Engineer to join our Singapore team. You'll work on cutting‐edge AI projects that directly impact smart cities across Southeast Asia, building and deploying real‐world computer vision solutions that process live video streams at scale. This is a hands‐on role where you'll design prototypes, develop production systems, and work closely with customers on proof‐of‐concept projects. You'll be at the forefront of applying deep learning and computer vision to solve real‐world challenges in traffic management, public safety, and urban intelligence. What You'll Do Design and develop computer vision applications for video analytics and smart city deployments Build prototypes and proof‐of‐concept solutions for customer projects across Southeast Asia Implement and optimize deep learning models for real‐time video processing Develop software in Python and C++ for high‐performance AI applications Work with web applications and APIs using ASP.NET for system integration Collaborate with cross‐functional teams, including product, sales, and customer success Deploy and test solutions in real‐world environments with customers Optimize AI systems for performance, accuracy, and scalability Document technical specifications and create demonstrations for stakeholders Required Skills & Qualifications Technical Skills Strong programming skills in Python and C++Solid understanding of computer vision fundamentals and techniques Experience or coursework in deep learning and neural networks Familiarity with ASP.NET or willingness to learn web development Knowledge of machine learning frameworks (TensorFlow, PyTorch, or similar)Understanding of image processing and video analysis concepts Education Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field from a recognized university Fresh graduates with strong technical foundations and relevant project experience are welcome to apply Candidates with 1‐3 years of relevant industry experience are also encouraged to apply Soft Skills Strong problem‐solving abilities and analytical thinking Ability to work independently and manage multiple projects Good communication skills for technical discussions and customer interactions Eagerness to learn new technologies and adapt to evolving requirements Comfortable working in a fast‐paced, startup‐like environment Nice to Have Experience with object detection, tracking, or video analytics projects Familiarity with GPU programming and optimization techniques Knowledge of embedded systems or edge computing Experience with cloud platforms (AWS, Azure, GCP)Understanding of software development lifecycle and version control (Git)Prior internship or project work in computer vision or AI Interest in smart city technologies and IoT systems Why Join Sensen.ai?Impactful Work – Build technology that makes cities safer and smarter for millions of people Cutting‐Edge Tech – Work with the latest advances in AI, computer vision, and deep learning Real‐World Deployment – See your code running in production across major cities Growth Opportunity – Be part of our Southeast Asia expansion and grow with the company Diverse Projects – Work on varied challenges across traffic, safety, and urban management Global Exposure – Collaborate with international teams and visit deployment sites Learning Environment – Continuous learning with exposure to enterprise‐scale AI systems #J-18808-Ljbffr